RDOCUMENTATION . ORG {
}
Title:
fread function - RDocumentation
Description:
<p>Similar to <code><a href="/link/read.csv()?package=data.table&version=1.17.6" data-mini-rdoc="data.table::read.csv()">read.csv()</a></code> and <code><a href="/link/read.delim()?package=data.table&version=1.17.6" data-mini-rdoc="data.table::read.delim()">read.delim()</a></code> but faster and more convenient. All controls such as <code>sep</code>, <code>colClasses</code> and <code>nrows</code> are automatically detected.</p> <p><code><a href="/link/bit64%3A%3Ainteger64?package=data.table&version=1.17.6" data-mini-rdoc="data.table::bit64::integer64">bit64::integer64</a></code>, <code>IDate</code>, and <code><a href="/link/POSIXct?package=data.table&version=1.17.6" data-mini-rdoc="data.table::POSIXct">POSIXct</a></code> types are also detected and read directly without needing to read as character before converting.</p> <p><code>fread</code> is for <em>regular</em> delimited files; i.e., where every row has the same number of columns. In future, secondary separator (<code>sep2</code>) may be specified <em>within</em> each column. Such columns will be read as type <code>list</code> where each cell is itself a vector.</p>
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Keywords {🔍}
freaddata, sec, column, read, systemtimedf, reads, directly, automatically, readcsv, typing, numbers, drop, filltrue, datatable, usage, references, run, code, input, data, line, fread, names, precision, colclasses, easier, select, skip, blank, lines, blanklinesskiptrue, fill, freadabnnannncnn, freada, bnn, dteinf, rows, columns, readcsvtestcsvstringsasfactorsfalse, faster, varies, colclassescintegerintegernumeric, characternumericinteger, systemtimedt, rdocumentation, powered, learn, programming, version, description,
Topics {✒️}
uk/pub/datasets/csb/ch11b 0/inst/tests/ch11b 0/inst/tests/issue_785_fread arguments details references types combined fread names usage fread data line automatically column names skip=true description usage banner line names=true names=false present automatically rdocumentation powered add numerals= store accurately greater accuracy replace=true header=true stringsasfactors=false bz2 automatically fill=true =na_integer_] dt[4 =na_real_] dt[3 =na_character_] dt[5 =+inf] dt[3 dt = fread select=list examples run double precision package rmpfr =-inf] write 10 million rows read fread programming data quote=false /rdatatable/data colclasses=list table/raw/1 csv fread file size code 'numeric' dt[ blank lines n2\n3 references dtbig fread
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